Objective
Drug candidates should have a higher proportion of Csp3 over Csp2 and Csp and a greater number of stereogenic centers. That is essentially the message of F. Lovering et al. in their seminal article Escape from Flatland published in 2009 which induced a paradigm change in drug design. The first recommendation (higher proportion of Csp3) has opened a new field of research over the last 15 years, in a quest aiming at the synthesis and functionalization of small rigid polycyclic (bridged or caged) molecular scaffolds, used as building blocks in medicinal chemistry and particularly as bioisosteres of aromatics. This quest has strongly influenced academic and industrial research in organic and medicinal chemistry. However, the second recommendation (more stereogenic centers) was largely unmet due to the lack of efficient methods for the enantioselective synthesis of such chiral rigid polyclic structures.
In this project, we will develop an array of synthetic methods involving diverse enantioselective cycloadditions reactions and cascade transformations to fill this essential gap in knowledge. Ultimately, we will apply these methods to the enantioselective synthesis of various bridged and caged polycyclic scaffolds, which could become the building blocks of the future in drug design. In particular, we propose to achieve the first enantioselective synthesis of a polysubstituted cubane scaffold, a long-standing challenge in asymmetric synthesis. We will also apply these synthetic approaches to the unprecedented enantioselective total synthesis of various polycyclic natural products. Knocking down the scientific barrier of enantioselective synthesis of bridged and caged rigid molecular scaffolds will have huge repercussions for the fields of organic chemistry and asymmetric synthesis, through the development of new synthetic methods and total syntheses, but also for medicinal chemistry and drug discovery, via the design of the next generation of building blocks.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Funding Scheme
HORIZON-ERC - HORIZON ERC GrantsHost institution
75794 Paris
France